IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v117y2018i3d10.1007_s11192-018-2926-0.html
   My bibliography  Save this article

Do gendered citation advantages influence field participation? Four unusual fields in the USA 1996–2017

Author

Listed:
  • Mike Thelwall

    (University of Wolverhampton)

Abstract

Gender inequalities in science are an ongoing concern, but their current causes are not well understood. This article investigates four fields with unusual proportions of female researchers in the USA for their subject matter, according to some current theories. It assesses how their gender composition and gender differences in citation rates have changed over time. All fields increased their share of female first-authored research, but at varying rates. The results give no evidence of the importance of citations, despite their unusual gender characteristics. For example, the field with the highest share of female-authored research and the most rapid increase had the largest male citation advantage. Differing micro-specialisms seems more likely than bias to be a cause of gender differences in citation rates, when present.

Suggested Citation

  • Mike Thelwall, 2018. "Do gendered citation advantages influence field participation? Four unusual fields in the USA 1996–2017," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 2133-2144, December.
    • Handle: RePEc:spr:scient:v:117:y:2018:i:3:d:10.1007_s11192-018-2926-0
    DOI: 10.1007/s11192-018-2926-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-018-2926-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-018-2926-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Michel Zitt, 2012. "The journal impact factor: angel, devil, or scapegoat? A comment on J.K. Vanclay’s article 2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 485-503, August.
    2. Thelwall, Mike, 2018. "Do females create higher impact research? Scopus citations and Mendeley readers for articles from five countries," Journal of Informetrics, Elsevier, vol. 12(4), pages 1031-1041.
    3. Luke Holman & Devi Stuart-Fox & Cindy E Hauser, 2018. "The gender gap in science: How long until women are equally represented?," PLOS Biology, Public Library of Science, vol. 16(4), pages 1-20, April.
    4. Levitt, Jonathan M. & Thelwall, Mike, 2013. "Alphabetization and the skewing of first authorship towards last names early in the alphabet," Journal of Informetrics, Elsevier, vol. 7(3), pages 575-582.
    5. Thelwall, Mike & Fairclough, Ruth, 2015. "Geometric journal impact factors correcting for individual highly cited articles," Journal of Informetrics, Elsevier, vol. 9(2), pages 263-272.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhang, Ning & He, Guangye & Shi, Dongbo & Zhao, Zhenyue & Li, Jiang, 2022. "Does a gender-neutral name associate with the research impact of a scientist?," Journal of Informetrics, Elsevier, vol. 16(1).
    2. Mike Thelwall, 2020. "Female citation impact superiority 1996–2018 in six out of seven English‐speaking nations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(8), pages 979-990, August.
    3. Yongchao Ma & Ying Teng & Zhongzhun Deng & Li Liu & Yi Zhang, 2023. "Does writing style affect gender differences in the research performance of articles?: An empirical study of BERT-based textual sentiment analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2105-2143, April.
    4. Hamid R. Jamali & Alireza Abbasi, 2023. "Gender gaps in Australian research publishing, citation and co-authorship," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 2879-2893, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mike Thelwall & Tamara Nevill, 2019. "No evidence of citation bias as a determinant of STEM gender disparities in US biochemistry, genetics and molecular biology research," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1793-1801, December.
    2. Thelwall, Mike, 2018. "Do females create higher impact research? Scopus citations and Mendeley readers for articles from five countries," Journal of Informetrics, Elsevier, vol. 12(4), pages 1031-1041.
    3. Thelwall, Mike & Sud, Pardeep, 2016. "National, disciplinary and temporal variations in the extent to which articles with more authors have more impact: Evidence from a geometric field normalised citation indicator," Journal of Informetrics, Elsevier, vol. 10(1), pages 48-61.
    4. Fairclough, Ruth & Thelwall, Mike, 2015. "More precise methods for national research citation impact comparisons," Journal of Informetrics, Elsevier, vol. 9(4), pages 895-906.
    5. Kong, Ling & Wang, Dongbo, 2020. "Comparison of citations and attention of cover and non-cover papers," Journal of Informetrics, Elsevier, vol. 14(4).
    6. Mike Thelwall, 2018. "Early Mendeley readers correlate with later citation counts," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1231-1240, June.
    7. Mike Thelwall, 2017. "Are Mendeley reader counts useful impact indicators in all fields?," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1721-1731, December.
    8. Thelwall, Mike, 2018. "Microsoft Academic automatic document searches: Accuracy for journal articles and suitability for citation analysis," Journal of Informetrics, Elsevier, vol. 12(1), pages 1-9.
    9. Mike Thelwall, 2020. "Female citation impact superiority 1996–2018 in six out of seven English‐speaking nations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(8), pages 979-990, August.
    10. Shen, Hongquan & Cheng, Ying & Ju, Xiufang & Xie, Juan, 2022. "Rethinking the effect of inter-gender collaboration on research performance for scholars," Journal of Informetrics, Elsevier, vol. 16(4).
    11. Mike Thelwall & Kayvan Kousha, 2017. "ResearchGate versus Google Scholar: Which finds more early citations?," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(2), pages 1125-1131, August.
    12. Mike Thelwall, 2019. "The influence of highly cited papers on field normalised indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 519-537, February.
    13. Mike Thelwall, 2018. "Does Microsoft Academic find early citations?," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 325-334, January.
    14. Michael Thelwall, 2018. "Can Microsoft Academic be used for citation analysis of preprint archives? The case of the Social Science Research Network," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 913-928, May.
    15. Lando, Tommaso & Bertoli-Barsotti, Lucio, 2017. "Measuring the citation impact of journals with generalized Lorenz curves," Journal of Informetrics, Elsevier, vol. 11(3), pages 689-703.
    16. Tove Faber Frandsen & Rasmus Højbjerg Jacobsen & Jakob Ousager, 2020. "Gender gaps in scientific performance: a longitudinal matching study of health sciences researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1511-1527, August.
    17. Thelwall, Mike, 2016. "Are there too many uncited articles? Zero inflated variants of the discretised lognormal and hooked power law distributions," Journal of Informetrics, Elsevier, vol. 10(2), pages 622-633.
    18. Jyoti Paswan & Vivek Kumar Singh, 2020. "Gender and research publishing analyzed through the lenses of discipline, institution types, impact and international collaboration: a case study from India," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 497-515, April.
    19. Thelwall, Mike, 2016. "Citation count distributions for large monodisciplinary journals," Journal of Informetrics, Elsevier, vol. 10(3), pages 863-874.
    20. Thelwall, Mike & Bailey, Carol & Tobin, Catherine & Bradshaw, Noel-Ann, 2019. "Gender differences in research areas, methods and topics: Can people and thing orientations explain the results?," Journal of Informetrics, Elsevier, vol. 13(1), pages 149-169.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:117:y:2018:i:3:d:10.1007_s11192-018-2926-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.